Internet variable test method and device

Abstract

The invention discloses an Internet variable test method and device, and relates to the field of Internet variables, and the method comprises the following steps: setting an Internet online shopping platform, and obtaining the consumption information, Internet variable information and online shopping feedback information of an online shopping consumer; obtaining online shopping variable focusing data and consumption focusing data according to the internet variable information and the consumption information, and establishing an online shopping scene model according to the online shopping variable focusing data and the consumption focusing data; setting an online shopping basic scene, carrying out a reorder transmission test on the online shopping variable focusing data and the consumption focusing data through an online shopping scene model, and obtaining a reorder promoter according to the online shopping basic scene and online shopping feedback information; performing information transmission management on the internet variable information according to the reorder promoter, and generating an information transmission strategy; the product experience and the purchase rate are improved.

Description

Technical Field

[0001] The present invention relates to the field of Internet variables, and in particular to an Internet variable testing method and device. Background Art

[0002] The background of Internet variable testing methods stems from the continuous optimization of user behavior and experience during the rapid development of Internet products and services. With the increasing popularity of online business, e-commerce, social platforms and digital marketing, enterprises and developers need to find the most effective ways to improve key indicators such as user engagement, conversion rate, and retention rate in a complex and changing network environment. In the existing technology, Internet variable testing methods may cause problems such as insufficient sample size, multivariate interference, and damage to user experience. These are problems we need to solve. To this end, we now provide an Internet variable testing method and device. Summary of the Invention

[0003] In order to solve the above technical problems, the present invention aims to provide an Internet variable testing method, comprising the following steps: Step S1: Setting up an Internet shopping platform to obtain online shopping consumers' consumption information, Internet variable information, and online shopping feedback information; Step S2: obtaining online shopping variable focus data and consumption focus data based on the Internet variable information and consumption information, and establishing an online shopping scenario model based on the online shopping variable focus data and consumption focus data; Step S3: Setting up a basic online shopping scenario, conducting a reorder transmission test on online shopping variable focus data and consumption focus data through an online shopping scenario model, and obtaining a reorder initiator based on the basic online shopping scenario and online shopping feedback information; Step S4: Based on the reordering starter, perform information transmission management on the Internet variable information and generate an information transmission strategy.

[0004] Furthermore, the process of setting up an Internet shopping platform and obtaining consumption information, Internet variable information, and online shopping feedback information of online shoppers includes: Setting up a consumer online shopping sub-platform; the consumer online shopping sub-platform is used to obtain consumption information, Internet variable information and online shopping feedback information of online shopping consumers; the Internet online shopping platform is used to obtain consumption information, Internet variable information and online shopping feedback information of each consumer online shopping sub-platform; The consumption information includes consumer online shopping video data and consumer browsing video data; the Internet variable information includes product page image information, product detail page information, and product price information; the online shopping feedback information includes product page visit data, product click data, and product purchase data; An online shopping information monitoring terminal is set up; the online shopping information monitoring terminal is set up in the consumer online shopping sub-platform; consumption information, Internet variable information and online shopping feedback information of the consumer online shopping sub-platform are collected in real time according to the online shopping information monitoring terminal.

[0005] Furthermore, based on the Internet variable information and consumption information, the process of obtaining online shopping variable focus data and consumption focus data includes: Transmitting Internet variable information and consumption information generated during the consumer online shopping process on the consumer online shopping sub-platform to the Internet shopping platform; The Internet shopping platform performs focusing processing on the Internet variable information and consumption information transmitted in the information transmission channel to obtain online shopping variable focused data and consumption focused data; Product page pixels are obtained based on product page image information, and product personalized extraction is performed on the page pixels to obtain online shopping variable focus data, where the variable focus data includes first-quantity focus data and second-quantity focus data; a video cut-off period is set, and online shopping pin-point images and browsing pin-point images are obtained based on the video cut-off period, consumer online shopping video data, and consumer browsing video data, and consumer focus data is obtained based on the online shopping pin-point images and browsing pin-point images.

[0006] Furthermore, based on the online shopping variable focus data and the consumption focus data, the process of establishing an online shopping scenario model includes: An online shopping product interface model is constructed based on the online shopping variable focus data; the consumption focus data corresponding to the online shopping variable focus data is input into the online shopping product interface model to obtain an online shopping scenario model.

[0007] Furthermore, a basic online shopping scenario is set up, and the process of reordering and transmitting the online shopping variable focus data and the consumption focus data through the online shopping scenario model includes: The online shopping basic scenario includes online shopping variable basic data and consumption basic data, and the online shopping variable basic data includes first-quantity focused basic data and second-quantity focused basic data; Set the model input conditions and model input coefficients; obtain online shopping feedback information generated by the online shopping scenario model based on the first-quantity focused data of the online shopping variable focused data, the second-quantity focused basic data of the online shopping variable basic data, the consumption focused data and the online shopping scenario model, and obtain feedback group sequence one based on the model input coefficients, the first-quantity focused data of the online shopping variable focused data and multiple groups of online shopping feedback information, and based on the model input coefficients and each group of network feedback information; obtain online shopping feedback information generated by the online shopping scenario model based on the first-quantity focused basic data of the online shopping variable basic data, the second-quantity focused data of the online shopping variable focused data, the consumption focused data and the online shopping scenario model, and obtain multiple groups of online shopping feedback information based on the model input coefficients and the first-quantity focused data of the online shopping variable focused data, and obtain feedback group sequence two based on the model input coefficients and each group of network feedback information.

[0008] Furthermore, based on the basic online shopping scenario and online shopping feedback information, the process of obtaining the reorder enabler includes: According to feedback group sequence one and feedback group sequence two, network feedback information is obtained respectively, and network matrix one data and network matrix two data are obtained according to the network feedback information. Feedback factors are set according to product page access data, product click data, product purchase data, network matrix one data and network matrix two data, and the feedback factors include access feedback factor, click feedback factor and purchase feedback factor. According to product page access data, product click data and product purchase data in the image data, product detail page residence time, product click rate and product purchase rate are obtained. According to the access feedback factor and product detail page residence time, the click feedback factor and product click rate, and the purchase feedback factor and product purchase rate, product feedback coefficient one and product feedback coefficient two are obtained respectively. According to the product feedback coefficient, network matrix one data and network matrix two data, product matrix one and product matrix two are obtained. According to each product matrix one and the corresponding feedback group sequence one, experimental feedback coefficient one is obtained. According to each product matrix two and the corresponding feedback group sequence two, experimental feedback coefficient two is obtained. And according to the experimental feedback coefficient one and experimental feedback coefficient two, a reordering starter is obtained.

[0009] Furthermore, according to the reordering starter, the process of managing the transmission of Internet variable information and generating an information transmission strategy includes: Set the advertising delivery coefficient; obtain the sequence-width value based on the re-sequence starter and the advertising delivery coefficient; the Internet shopping platform arranges the product advertising delivery information according to the sequence-width value, and optimizes the Internet variable information based on the product advertising delivery information, packages the product advertising delivery information and the optimized Internet variable information into product optimized variable information, and transmits the product optimized variable information to the consumer online shopping sub-platform respectively to generate an information transmission strategy.

[0010] In another embodiment of the present invention, the present invention further discloses an Internet variable testing device, including a management center, wherein the device is communicatively connected to an Internet variable acquisition module, an Internet variable analysis module, an Internet variable testing module, and an Internet variable transmission module: The Internet variable collection module is used to set up an Internet shopping platform to obtain consumption information, Internet variable information and online shopping feedback information of online shoppers; The Internet variable analysis module is used to obtain online shopping variable focus data and consumption focus data based on the Internet variable information and consumption information, and to establish an online shopping scenario model based on the online shopping variable focus data and consumption focus data; The Internet variable testing module is used to set up a basic online shopping scenario, conduct a reorder transmission test on online shopping variable focus data and consumption focus data through an online shopping scenario model, and obtain a reorder starter based on the basic online shopping scenario and online shopping feedback information; The Internet variable transmission module is used to perform information transmission management on Internet variable information according to the reorder starter and generate an information transmission strategy.

[0011] Compared with the prior art, the beneficial effects of the present invention are: setting up an Internet shopping platform, obtaining consumption information, Internet variable information and online shopping feedback information of online shopping consumers, which can improve the efficiency of user behavior pattern analysis; obtaining online shopping variable focus data and consumption focus data based on the Internet variable information and consumption information, and establishing an online shopping scenario model based on the online shopping variable focus data and consumption focus data, which can increase the understanding of user needs; setting up an online shopping basic scenario, performing a reorder transmission test on the online shopping variable focus data and consumption focus data through the online shopping scenario model, and obtaining a reorder starter based on the online shopping basic scenario and online shopping feedback information, which can improve product experience and enhance user stickiness; based on the reorder starter, performing information transmission management on the Internet variable information, generating an information transmission strategy, and optimizing the advertising delivery strategy for Internet companies. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 This is a flowchart of an Internet variable testing method according to an embodiment of the present application.

[0013] Figure 2 This is a schematic diagram of an Internet variable testing device according to an embodiment of the present application. DETAILED DESCRIPTION

[0014] like Figure 1 As shown, an Internet variable testing method includes the following steps: Step S1: Setting up an Internet shopping platform to obtain online shopping consumers' consumption information, Internet variable information, and online shopping feedback information; Step S2: obtaining online shopping variable focus data and consumption focus data based on the Internet variable information and consumption information, and establishing an online shopping scenario model based on the online shopping variable focus data and consumption focus data; Step S3: Setting up a basic online shopping scenario, conducting a reorder transmission test on online shopping variable focus data and consumption focus data through an online shopping scenario model, and obtaining a reorder initiator based on the basic online shopping scenario and online shopping feedback information; Step S4: Based on the reordering starter, perform information transmission management on the Internet variable information and generate an information transmission strategy.

[0015] It should be further explained that, in the specific implementation process, the process of setting up an Internet shopping platform and obtaining online shopping consumers' consumption information, Internet variable information, and online shopping feedback information includes: Setting up a consumer online shopping sub-platform; the consumer online shopping sub-platform is used to obtain consumption information, Internet variable information and online shopping feedback information of online shopping consumers; the Internet online shopping platform is used to obtain consumption information, Internet variable information and online shopping feedback information of each consumer online shopping sub-platform; It should be further explained that, in the specific implementation process, the Internet shopping platform is linked to several consumer online shopping sub-platforms, and when a consumer enters a consumer online shopping sub-platform, an information transmission channel is established between the consumer online shopping sub-platform and the Internet shopping platform. The consumption information of the online shoppers is transmitted to the Internet shopping platform through the information transmission channel. The Internet shopping platform obtains the consumption information, Internet variable information and online shopping feedback information of each consumer online shopping sub-platform through the information transmission channel. The consumption information includes consumer online shopping video data and consumer browsing video data; the Internet variable information includes product page image information, product detail page information, and product price information; the online shopping feedback information includes product page visit data, product click data, and product purchase data; An online shopping information monitoring terminal is set up; the online shopping information monitoring terminal is set up in the consumer online shopping sub-platform; consumption information, Internet variable information and online shopping feedback information of the consumer online shopping sub-platform are collected in real time according to the online shopping information monitoring terminal.

[0016] It should be further explained that, in the specific implementation process, the process of obtaining online shopping variable focus data and consumption focus data based on Internet variable information and consumption information, and establishing an online shopping scenario model based on the online shopping variable focus data and consumption focus data includes: Transmitting Internet variable information and consumption information generated during the consumer online shopping process on the consumer online shopping sub-platform to the Internet shopping platform; The Internet shopping platform performs focusing processing on the Internet variable information and consumption information transmitted in the information transmission channel to obtain online shopping variable focused data and consumption focused data; It should be further explained that, in the specific implementation process, the process of focusing on Internet variable information and consumer information is as follows: dividing the product page image information into several page raster images, and disassembling the several page raster images to obtain product page pixels, and performing product personalized extraction on the page pixels to obtain online shopping variable focus data, the variable focus data includes one-quantity focus data and two-quantity focus data, the one-quantity focus data refers to key information image data, and the two-quantity focus data refers to highlight information image data; extracting the personalized information of the product, the personalized information of the product refers to the key information and highlight information of the product, and the key information refers to the function of the product. The system can collect information related to product introduction, such as function and performance, where the highlight information refers to information that attracts consumers, such as price and performance; set a video cut-off period, split the consumer online shopping video data and the consumer browsing video data according to the video cut-off period, obtain online shopping pinpoint images and browsing pinpoint images, and capture consumer behavior on the online shopping pinpoint images and browsing pinpoint images to obtain consumer focus data. The consumer behavior includes product purchase behavior, product click behavior, product add-to-purchase behavior, product collection behavior, and product browsing behavior. The consumer behavior capture refers to image extraction of image data related to consumer behavior in the online shopping pinpoint images and browsing pinpoint images; And based on the online shopping variable focus data and consumption focus data, establish an online shopping scenario model; It should be further explained that, in the specific implementation process, the process of establishing an online shopping scenario model based on the online shopping variable focus data and the consumption focus data is as follows: building an online shopping product interface model based on the online shopping variable focus data, the online shopping product scenario includes product page design, product information layout, product introduction and product detail pictures, etc.; inputting the consumption focus data corresponding to the online shopping variable focus data into the online shopping product interface model to obtain the online shopping scenario model.

[0017] It should be further explained that, in the specific implementation process, a basic online shopping scenario is set up, and a reorder transmission test is conducted on online shopping variable focus data and consumption focus data through the online shopping scenario model. The process of obtaining a reorder starter based on the basic online shopping scenario and online shopping feedback information includes: The online shopping basic scenario includes online shopping variable basic data and consumption basic data, and the online shopping variable basic data includes first-quantity focused basic data and second-quantity focused basic data; Setting model input conditions and model input coefficients; the model input conditions are set in the online shopping scenario model; the model input coefficients refer to the conditional input degree of the model input conditions; It should be further explained that, in a specific implementation process, the process of reordering the transmission test of the online shopping variable focused data and the consumption focused data through the online shopping scenario model is as follows: the first quantity focused data of the online shopping variable focused data, the second quantity focused basic data of the online shopping variable basic data, and the consumption focused data are used as model input conditions and transmitted to the online shopping scenario model, and the online shopping feedback information generated by the online shopping scenario model is collected, wherein the online shopping feedback information is image information, and the transmission of the first quantity focused data of the online shopping variable focused data is adjusted multiple times by the model input coefficient, multiple groups of online shopping feedback information are collected, and each group of network feedback information is marked according to the model input coefficient to obtain feedback group sequence 1; the first quantity focused basic data of the online shopping variable basic data, the second quantity focused data of the online shopping variable focused data, and the consumption focused data are used as model input conditions and transmitted to the online shopping scenario model, and the online shopping feedback information generated by the online shopping scenario model is collected, wherein the online shopping feedback information is image information, and the transmission of the first quantity focused data of the online shopping variable focused data is adjusted multiple times by the model input coefficient, multiple groups of online shopping feedback information are collected, and each group of network feedback information is marked according to the model input coefficient to obtain feedback group sequence 2; And according to the basic online shopping scenario and online shopping feedback information, obtain the reorder starter; It should be further explained that, in the specific implementation process, according to the basic online shopping scenario and the online shopping feedback information, the process of obtaining the reordering starter is: obtain network feedback information according to feedback group sequence one and feedback group sequence two respectively, divide the network feedback information into a number of image slice data, and arrange the several image slice data into a number of rectangles to obtain network matrix one data and network matrix two data, assign values ​​to each image slice data in the network matrix data according to the product page access data, product click data and product purchase data, set feedback factors, the feedback factors are related to the product page access data, product click data and product purchase data, and the feedback factors corresponding to the product page access data, product click data and product purchase data are not equal, the feedback factors include access feedback factor, click feedback factor and purchase feedback factor; assign values ​​to the product page access data, product click data and product purchase data in the image slice data. The query data, product click data and product purchase data are edge segmented, and the segmented image data are statistically analyzed to obtain the product details page residence time, product click rate and product purchase rate. The visit feedback factor is multiplied by the product details page residence time, the click feedback factor is multiplied by the product click rate, and the purchase feedback factor is multiplied by the product purchase rate, and the obtained product calculation results are added together to obtain the product feedback coefficient one and the product feedback coefficient two; the product feedback coefficients are arranged according to the grid matrix data to obtain product matrix one and product matrix two; each product matrix one is multiplied by the corresponding feedback group sequence one and the sum is calculated to obtain the experimental feedback coefficient one, and each product matrix two is multiplied by the corresponding feedback group sequence two and the sum is calculated to obtain the experimental feedback coefficient two; the experimental feedback coefficient one and the experimental feedback coefficient two are multiplied to obtain the reordering starter.

[0018] It should be further explained that, in the specific implementation process, the process of managing the transmission of Internet variable information and generating an information transmission strategy according to the reordering starter includes: Setting an advertisement delivery coefficient; the advertisement delivery coefficient is related to the advertisement delivery time; The reorder starter is multiplied by the advertising delivery coefficient to obtain the order width value; the order width value refers to the time when the Internet shopping platform delivers advertisements to each consumer online shopping sub-platform; The Internet shopping platform arranges product advertising information according to the sequence-width value, optimizes the Internet variable information according to the product advertising information, packages the product advertising information and the optimized Internet variable information into product optimized variable information, and transmits the product optimized variable information to the consumer online shopping sub-platform respectively to generate an information transmission strategy.

[0019] like Figure 2As shown, in another embodiment of the present invention, the present invention further discloses an Internet variable testing device, including a management center, wherein the device is communicatively connected to an Internet variable acquisition module, an Internet variable analysis module, an Internet variable testing module, and an Internet variable transmission module: The Internet variable collection module is used to set up an Internet shopping platform to obtain consumption information, Internet variable information and online shopping feedback information of online shoppers; The Internet variable analysis module is used to obtain online shopping variable focus data and consumption focus data based on the Internet variable information and consumption information, and to establish an online shopping scenario model based on the online shopping variable focus data and consumption focus data; The Internet variable testing module is used to set up a basic online shopping scenario, conduct a reorder transmission test on online shopping variable focus data and consumption focus data through an online shopping scenario model, and obtain a reorder starter based on the basic online shopping scenario and online shopping feedback information; The Internet variable transmission module is used to perform information transmission management on Internet variable information according to the reorder starter and generate an information transmission strategy.

[0020] The above embodiments are only used to illustrate the technical method of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A method for testing Internet variables, characterized in that: The following steps are involved: Step S1: Setting up an Internet shopping platform to obtain online shopping consumers' consumption information, Internet variable information, and online shopping feedback information; Step S2: obtaining online shopping variable focus data and consumption focus data based on the Internet variable information and consumption information, and establishing an online shopping scenario model based on the online shopping variable focus data and consumption focus data; Step S3: Setting up a basic online shopping scenario, conducting a reorder transmission test on online shopping variable focus data and consumption focus data through an online shopping scenario model, and obtaining a reorder initiator based on the basic online shopping scenario and online shopping feedback information; Step S4: Based on the reordering starter, perform information transmission management on the Internet variable information and generate an information transmission strategy.

2. The Internet variable testing method according to claim 1, characterized in that: The process of setting up an Internet shopping platform and obtaining online shopping consumers' consumption information, Internet variable information, and online shopping feedback information includes: Setting up a consumer online shopping sub-platform; the consumer online shopping sub-platform is used to obtain consumption information, Internet variable information and online shopping feedback information of online shopping consumers; the Internet online shopping platform is used to obtain consumption information, Internet variable information and online shopping feedback information of each consumer online shopping sub-platform; The consumption information includes consumer online shopping video data and consumer browsing video data; the Internet variable information includes product page image information, product detail page information, and product price information; the online shopping feedback information includes product page visit data, product click data, and product purchase data; An online shopping information monitoring terminal is set up; the online shopping information monitoring terminal is set up in the consumer online shopping sub-platform; consumption information, Internet variable information and online shopping feedback information of the consumer online shopping sub-platform are collected in real time according to the online shopping information monitoring terminal.

3. The Internet variable testing method according to claim 2, characterized in that: Based on Internet variable information and consumption information, the process of obtaining online shopping variable focus data and consumption focus data includes: Transmitting Internet variable information and consumption information generated during the consumer online shopping process on the consumer online shopping sub-platform to the Internet shopping platform; The Internet shopping platform performs focusing processing on the Internet variable information and consumption information transmitted in the information transmission channel to obtain online shopping variable focused data and consumption focused data; Product page pixels are obtained based on product page image information, and product personalized extraction is performed on the page pixels to obtain online shopping variable focus data, where the variable focus data includes first-quantity focus data and second-quantity focus data; a video cut-off period is set, and online shopping pin-point images and browsing pin-point images are obtained based on the video cut-off period, consumer online shopping video data, and consumer browsing video data, and consumer focus data is obtained based on the online shopping pin-point images and browsing pin-point images.

4. The Internet variable testing method according to claim 3, characterized in that: Based on the online shopping variable focus data and consumption focus data, the process of establishing an online shopping scenario model includes: An online shopping product interface model is constructed based on the online shopping variable focus data; the consumption focus data corresponding to the online shopping variable focus data is input into the online shopping product interface model to obtain an online shopping scenario model.

5. The Internet variable testing method according to claim 4, characterized in that: The process of setting up a basic online shopping scenario and conducting a reorder transmission experiment on online shopping variable focus data and consumption focus data using the online shopping scenario model includes: The online shopping basic scenario includes online shopping variable basic data and consumption basic data, and the online shopping variable basic data includes first-quantity focused basic data and second-quantity focused basic data; Set the model input conditions and model input coefficients; obtain online shopping feedback information generated by the online shopping scenario model based on the first-quantity focused data of the online shopping variable focused data, the second-quantity focused basic data of the online shopping variable basic data, the consumption focused data and the online shopping scenario model, and obtain feedback group sequence one based on the model input coefficients, the first-quantity focused data of the online shopping variable focused data and multiple groups of online shopping feedback information, and based on the model input coefficients and each group of network feedback information; obtain online shopping feedback information generated by the online shopping scenario model based on the first-quantity focused basic data of the online shopping variable basic data, the second-quantity focused data of the online shopping variable focused data, the consumption focused data and the online shopping scenario model, and obtain multiple groups of online shopping feedback information based on the model input coefficients and the first-quantity focused data of the online shopping variable focused data, and obtain feedback group sequence two based on the model input coefficients and each group of network feedback information.

6. The Internet variable testing method according to claim 5, characterized in that: Based on the basic online shopping scenario and online shopping feedback information, the process of obtaining the reorder enabler includes: According to feedback group sequence one and feedback group sequence two, network feedback information is obtained respectively, and network matrix one data and network matrix two data are obtained according to the network feedback information. Feedback factors are set according to product page access data, product click data, product purchase data, network matrix one data and network matrix two data, and the feedback factors include access feedback factor, click feedback factor and purchase feedback factor. According to product page access data, product click data and product purchase data in the image data, product detail page residence time, product click rate and product purchase rate are obtained. According to the access feedback factor and product detail page residence time, the click feedback factor and product click rate, and the purchase feedback factor and product purchase rate, product feedback coefficient one and product feedback coefficient two are obtained respectively. According to the product feedback coefficient, network matrix one data and network matrix two data, product matrix one and product matrix two are obtained. According to each product matrix one and the corresponding feedback group sequence one, experimental feedback coefficient one is obtained. According to each product matrix two and the corresponding feedback group sequence two, experimental feedback coefficient two is obtained. And according to the experimental feedback coefficient one and experimental feedback coefficient two, a reordering starter is obtained.

7. The Internet variable testing method according to claim 6, characterized in that: According to the reordering starter, the process of managing the transmission of Internet variable information and generating an information transmission strategy includes: Set the advertising delivery coefficient; obtain the sequence-width value based on the re-sequence starter and the advertising delivery coefficient; the Internet shopping platform arranges the product advertising delivery information according to the sequence-width value, and optimizes the Internet variable information based on the product advertising delivery information, packages the product advertising delivery information and the optimized Internet variable information into product optimized variable information, and transmits the product optimized variable information to the consumer online shopping sub-platform respectively to generate an information transmission strategy.

8. An Internet variable testing device, specifically used in an Internet variable testing method according to any one of claims 1 to 7, comprising a management center, characterized in that: The device is connected to an Internet variable acquisition module, an Internet variable analysis module, an Internet variable testing module, and an Internet variable transmission module: The Internet variable collection module is used to set up an Internet shopping platform to obtain consumption information, Internet variable information and online shopping feedback information of online shoppers; The Internet variable analysis module is used to obtain online shopping variable focus data and consumption focus data based on the Internet variable information and consumption information, and to establish an online shopping scenario model based on the online shopping variable focus data and consumption focus data; The Internet variable testing module is used to set up a basic online shopping scenario, conduct a reorder transmission test on online shopping variable focus data and consumption focus data through an online shopping scenario model, and obtain a reorder starter based on the basic online shopping scenario and online shopping feedback information; The Internet variable transmission module is used to perform information transmission management on Internet variable information according to the reorder starter and generate an information transmission strategy.

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